Long-Term Risk and Prediction of Progression in Primary Angle Closure Suspect

Author:

Yuan Yixiong123,Xiong Ruilin123,Wang Wei1234,Xu Benjamin Y.5,Liao Chimei123,Yang Shaopeng123,Li Cong123,Zhang Jian123,Yin Qiuxia123,Zheng Yingfeng123,Friedman David S.6,Foster Paul J.7,He Mingguang18

Affiliation:

1. State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China

2. Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China

3. Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China

4. Hainan Eye Hospital and Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou, China

5. Roski Eye Institute, Keck School of Medicine, University of Southern California, Los Angeles, California

6. Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston

7. NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom

8. Experimental Ophthalmology, The Hong Kong Polytechnic University, Hong Kong, China

Abstract

ImportanceIdentifying primary angle closure suspect (PACS) eyes at risk of angle closure is crucial for its management. However, the risk of progression and its prediction are still understudied in long-term longitudinal studies about PACS.ObjectiveTo explore baseline predictors and develop prediction models for the 14-year risk of progression from PACS to primary angle closure (PAC).Design, Setting, and ParticipantsThis cohort study involved participants from the Zhongshan Angle Closure Prevention trial who had untreated eyes with PACS. Baseline examinations included tonometry, ultrasound A-scan biometry, and anterior segment optical coherence tomography (AS-OCT) under both light and dark conditions. Primary angle closure was defined as peripheral anterior synechiae in 1 or more clock hours, intraocular pressure (IOP) greater than 24 mm Hg, or acute angle closure. Based on baseline covariates, logistic regression models were built to predict the risk of progression from PACS to PAC during 14 years of follow-up.ResultsThe analysis included 377 eyes from 377 patients (mean [SD] patient age at baseline, 58.28 [4.71] years; 317 females [84%]). By the 14-year follow-up visit, 93 eyes (25%) had progressed from PACS to PAC. In multivariable models, higher IOP (odds ratio [OR], 1.14 [95% CI, 1.04-1.25] per 1-mm Hg increase), shallower central anterior chamber depth (ACD; OR, 0.81 [95% CI, 0.67-0.97] per 0.1-mm increase), and shallower limbal ACD (OR, 0.96 [95% CI, 0.93-0.99] per 0.01 increase in peripheral corneal thickness) at baseline were associated with an increased 14-year risk of progression from PACS to PAC. As for AS-OCT measurements, smaller light-room trabecular-iris space area (TISA) at 500 μm from the scleral spur (OR, 0.86 [95% CI, 0.77-0.96] per 0.01-mm2 increase), smaller light-room angle recess area (ARA) at 750 μm from the scleral spur (OR, 0.93 [95% CI, 0.88-0.98] per 0.01-mm2 increase), and smaller dark-room TISA at 500 μm (OR, 0.89 [95% CI, 0.80-0.98] per 0.01-mm2 increase) at baseline were identified as predictors for the 14-year risk of progression. The prediction models based on IOP and central and limbal ACDs showed moderate performance (area under the receiver operating characteristic curve, 0.69; 95% CI, 0.63-0.75) in predicting progression from PACS to PAC, and inclusion of AS-OCT metrics did not improve the model’s performance.Conclusions and RelevanceThis cohort study suggests that higher IOP, shallower central and limbal ACDs, and smaller TISA at 500 μm and light-room ARA at 750 μm may serve as baseline predictors for progression to PAC in PACS eyes. Evaluating these factors can aid in customizing PACS management.

Publisher

American Medical Association (AMA)

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